摘要
随着大数据、人工智能和物联网时代的到来,智能手机、智能手表等移动终端产生数据的增速已远远超过了网络带宽。同时,智能家居、无人驾驶等新应用对网络延迟提出了更高要求。边缘计算因在贴近数据源的网络边缘进行数据处理,绕过了网络带宽和延迟问题,迅速成为近几年的研究热点。首先提出边缘计算的定义,并对边缘计算、云计算、雾计算进行对比分析,给出边缘计算的优势,然后介绍边缘计算基本架构,列举了边缘计算较为经典的两个平台:移动边缘计算平台MEC和微云Cloudlet,最后对边缘计算在智能家居、车联网具体场景中的应用进行了分析。
With the advent of the era of big data,artificial intelligence and the Internet of Things,the growth rate of data generated by mobile terminals such as smart phones and smart watches has far exceeded the growth rate of network bandwidth.At the same time,new applications such as smart homes and driverless cars place higher demands on network latency.Because edge computing performs data processing at the edge of the network close to the data source,it bypasses network bandwidth and latency issues,which has become a research hotspot in recent years.This paper proposes the definition of edge computing,compares and analyzes edge computing,cloud computing,and fog computing,and summarizes the advantages of edge computing.It introduces the basic framework of edge computing and edge computing data processing models.Moreover,it lists two classic edge computing platforms:mobile edge computing(MEC)and Cloudlet.Finally it analyzes the application of edge computing in smart home and car network scenarios.
作者
蒋守花
舒晖
任宇
陈俊
JIANG Shou-hua;SHU Hui;REN Yu;CHEN Jun(Center of Modern Educational Technology,Chengdu Medical College,Chengdu 610500,China)
出处
《软件导刊》
2020年第10期205-208,共4页
Software Guide
基金
四川省教育信息化应用与发展研究中心项目(JYXX18-012)。
关键词
边缘计算
云计算
雾计算
物联网
微数据中心
edge computing
cloud computing
fog computing
Internet of Things
micro data center
